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Found 1,890 Skills
Worktree-first implementation workflow for isolated, focused work. Use when starting any implementation task — single issue, feature, or multi-issue parallel work. Each worktree provides a clean, isolated directory with its own branch, preventing cross-contamination and enabling atomic PRs.
Obsidian Knowledge Base Organization Workflow. Trigger scenarios: When users mention "organize Obsidian", "clean up folders", "messy knowledge base", "too many directories", "merge categories". Applicable to: Personal knowledge management, note organization, folder restructuring.
Load project context from .claude/ directory at the start of every task. This ensures Gemini CLI has the same coding rules, design decisions, and library constraints as Claude Code.
Implement or modify VMark React UI with project conventions (Zustand selectors, Tailwind v4, shadcn/ui). Use for components, hooks, stores, and UI behavior changes.
Evaluate Figma designs from operator persona perspectives through design critique and user experience evaluation. Use when reviewing UX for specific user roles (e.g., air-surveillance-tech, weapons-director), conducting design reviews, or evaluating operator interfaces. Analyzes cognitive load, communication patterns, pain points, and system visibility. Works with Figma MCP (desktop/URL) and Outline docs.
Package a agent skill into a complete GitHub repository ready for distribution via skills.sh. Generates README, LICENSE, plugin.json, marketplace.json, .gitignore, and the proper directory structure. Optionally initializes a git repo and creates a GitHub repository. This skill should be used when publishing a skill, packaging a skill for distribution, preparing a skill repo, or when the user says 'publish skill', 'package skill', 'release skill', '发布技能', '打包 skill'.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Engineer professional-grade brand logos using geometric primitives and negative space — generates minimalist, scalable vector-style marks via muapi.ai
Use when syncing skills from local folders, GitHub URLs, or skillsmp.com pages to multiple AI coding tool directories
This skill should be used when performing AI-powered mutation testing to evaluate and improve unit test quality. It generates targeted code mutants, runs tests to identify surviving mutants, and strengthens or creates tests to kill them. Accepts a file path, directory, or defaults to git diff changed files.
Initialize the Platonic Coding system for any project. Scaffolds specs infrastructure (.platonic.yml, RFC templates, impl guide directory) and scans existing codebases to recover missing conceptual and architecture design specs as Draft RFCs. Use when adopting platonic coding for a new or existing project.
Use this skill for ANY question about creating test or evaluation datasets for LangChain agents. Covers generating datasets from traces (final_response, single_step, trajectory, RAG types), uploading to LangSmith, and managing evaluation data.